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The Scientific Study of Religion: Its Contribution to the Study of the <i>Bhagavadg?tā</i>

2004· article· en· W2163499474 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZygon® · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicStudy and Philosophy of Religion
Canadian institutionsMcGill University
Fundersnot available
KeywordsIncarnationBattleEleventhHEROIslamHinduismPhenomenonDharmaPhilosophyHistoryReligious studiesEpistemologyClassicsLiteratureTheologyBuddhismAncient historyArt

Abstract

fetched live from OpenAlex

Abstract. The Bhagavadg?tā is a popular Hindu text containing eighteen chapters. It begins with the hero, Arjuna, showing a marked unwillingness to engage in combat on the eve of battle. He is finally persuaded to do so by Krishna, who is an incarnation of God. Krishna actually reveals himself as such to an amazed Arjuna in the eleventh chapter. The fact that Arjuna does not immediately heed Krishna's advice to engage in battle after Krishna's sensational self‐disclosure has long puzzled students of the text. It is only at the end of the eighteenth chapter that Arjuna finally shows his readiness to fight. In this essay I argue that the discussion of the nine primary sensory states by Eugene d'Aquili may help resolve this issue and thus provide an instance of a case in which modern scientific study of religion enhances our understanding of a religious phenomenon, as a corrective to the usual charge that it must invariably diminish it.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.241
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it